LLM Temperature

Temperature is a physical property that measures the degree of hotness or coldness of an object or substance. In the context of Large Language Models (LLMs), temperature is a hyperparameter used during the generation of text. A lower temperature value makes the output more deterministic and less likely to explore different possibilities, while a higher temperature value makes the output more exploratory and more likely to generate diverse responses.

LLM Temperature:

• Input Field Type: Numeric Input

• Description: LLM Temperature determines the degree of randomness or creativity in the agent's responses, controlling the diversity and variability of generated text.

• Usage: Adjust the LLM Temperature to regulate the level of novelty and spontaneity in the agent's output. Higher temperatures encourage more exploratory and diverse responses, while lower temperatures prioritize coherence and relevance.

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